activity
20202026
most citedCG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

35 citations · 35 across the 12 of their papers we have counts for

collaborators

17 papers

cs.SD2026

Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions

Oluwanifemi Bamgbose, Simon Rosen, Jash Shah +6

Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Models (Audio-LLM) judges) are expected to reflect human perception,…

cs.SD2026

From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models

Pengfei Zhang, Hoang H Nguyen, Kazi Shaharair Sharif +6

Recent Large Audio Language Models (LALMs) have achieved remarkable progress in audio perceptual tasks across individual acoustic layers, including speech, sound, and music. Howeve…

cs.SD2026

AP-GRPO: Anchor-Gated Phonetic Alignment with Policy Optimization for Pathological Speech Reconstruction

Pengfei Zhang, Hoang H Nguyen, Yutong Song +6

Pathological speech from patients with neurodegenerative and neuromotor disorders is often acoustically distorted and linguistically fragmented, making pathological speech reconstr…

cs.SD2026

EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents

Tara Bogavelli, Gabrielle Gauthier Melançon, Katrina Stankiewicz +10

Voice agents are increasingly deployed across enterprise applications. However, no existing benchmark jointly addresses realistic conversation simulation and comprehensive voice-sp…

cs.CL2025

BIRD: Bronze Inscription Restoration and Dating

Wenjie Hua, Hoang H. Nguyen, Gangyan Ge

Bronze inscriptions from early China are fragmentary and difficult to date. We introduce BIRD(Bronze Inscription Restoration and Dating), a fully encoded dataset grounded in standa…

cs.CL2025

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Chunyu Miao, Henry Peng Zou, Yangning Li +28

Large language models (LLMs) show the promise in supporting scientific research implementation, yet their ability to generate correct and executable code remains limited. Existing…